---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.1
tags:
- generated_from_trainer
model-index:
- name: mistral-instruct-adv-robust-15-sft-lora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# mistral-instruct-adv-robust-15-sft-lora

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7347

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1318        | 0.12  | 1    | 2.8353          |
| 3.1318        | 1.12  | 2    | 2.6364          |
| 3.1318        | 2.12  | 3    | 2.4946          |
| 3.1318        | 3.12  | 4    | 2.5337          |
| 2.7387        | 4.12  | 5    | 2.3354          |
| 2.7387        | 5.12  | 6    | 2.2143          |
| 2.7387        | 6.12  | 7    | 2.1649          |
| 2.7387        | 7.12  | 8    | 2.1062          |
| 2.7387        | 8.12  | 9    | 2.0854          |
| 2.2698        | 9.12  | 10   | 2.0497          |
| 2.2698        | 10.12 | 11   | 1.9576          |
| 2.2698        | 11.12 | 12   | 1.8585          |
| 2.2698        | 12.12 | 13   | 1.7771          |
| 2.2698        | 13.12 | 14   | 1.7952          |
| 1.9483        | 14.12 | 15   | 1.7796          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0a0+32f93b1
- Datasets 2.14.6
- Tokenizers 0.14.1